• DocumentCode
    472186
  • Title

    Multiday Electrophysiological Recordings from Freely Behaving Primates

  • Author

    Gilja, Vikash ; Linderman, Michael D. ; Santhanam, Gopal ; Afshar, Afsheen ; Ryu, Stephen ; Meng, Teresa H. ; Shenoy, Krishna V.

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    5643
  • Lastpage
    5646
  • Abstract
    Continuous multiday broadband neural data provide a means for observing effects at fine timescales over long periods. In this paper we present analyses on such data sets to demonstrate neural correlates for physically active and inactive time periods, as defined by the response of a head-mounted accelerometer. During active periods, we found that 5-25 Hz local field potential (LFP) power was significantly reduced, firing rate variability increased, and firing rates have greater temporal correlation. Using a single threshold fit to LFP power, 93% of the 403 5 minute blocks tested were correctly classified as active or inactive (as labeled by thresholding each block´s maximal accelerometer magnitude). These initial results motivate the use of such data sets for testing neural prosthetics systems and for finding the neural correlates of natural behaviors
  • Keywords
    accelerometers; bioelectric potentials; biomedical measurement; biomedical transducers; neurophysiology; 5 to 25 Hz; active periods; continuous multiday broadband neural data; firing rate; freely behaving primates; head-mounted accelerometer; inactive periods; local field potential power; multiday electrophysiological recordings; neural correlation; neural prosthetics system testing; single threshold fit; temporal correlation; Accelerometers; Batteries; Cities and towns; Computer science; Data analysis; Electrophysiology; Magnetic heads; Neurosurgery; Testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260412
  • Filename
    4463086